The role of this Technical Committee (TC) is to provide an interface between the community of biomedical engineers and medical physicists served by EMBS, and the community of computational modelers within the Interagency Modeling and Analysis Group (IMAG) Multiscale Modeling (MSM) Consortium, and the physiologists and clinicians within the International Union of Physiological Sciences (IUPS).
In particular the TC needs to develop standards and tools for linking computational biology approaches and the Physiome modeling framework to the following areas of expertise within EMBS: biosignal processing, biomedical imaging and image processing, bioinstrumentation (including wearable devices), and medical device and database standards
One major goal therefore is to interface with work done as part of the Physiome modelling framework. The Physiome Project is a worldwide public domain effort to provide a computational framework for understanding human and other eukaryotic physiology. It aims to develop integrative models at all levels of biological organisation, from genes to the whole organism via gene regulatory networks, protein pathways, integrative cell function, and tissue and whole organ structure/function relations.
The CBaP TC will coordinate modeling-focused activities, such as conference sessions and workshops, with other bioengineering, physiological, medical physics and clinical societies (for example: AIMBE, BMES, BPS, IFMBE, ISCB and IUPS). The CBaP TC will also liaise closely with other IEEE EMBS TCs.
The initial focus of this TC was the formulation of a SubCommittee to promote a markup language for BiosignalML – XML standards, software & databases for biomedical signals. This effort has been completed. The website that gives all technical specs of biosignal ML is located at www.biosignalml.org.
The current focus of this TC is to promote model sharing through publications. Publications provide an opportunity to share models through a media that virtually every researcher encounters. A model shared directly through a publication will not only facilitate review of the publication, but also sharing of the model to the wider journal audience. Some questions are: What is to be shared? Where will the shared entity be stored? Who pays for it? How can we make this happen?